Enabling the property data marketplace for novel data-driven business products

InfrRisk

Shi, D. Sukhobok, N. Nikolov and D. Roman. Norwegian State of Estate Report as Linked Open Data. To appear in the proceedings of ODBASE 2017 – The 16th International Conference on Ontologies, DataBases, and Applications of Semantics, Springer, 24-25 October 2017, Rhodes, Greece.

Abstract: This paper presents the Norwegian State of Estate (SoE) dataset containing data about real estates owned by the central government in Norway. The dataset is produced by integrating cross-domain government datasets including data from sources such as the Norwegian business entity register, cadastral system, building accessibility register and the previous SoE report. The dataset is made available as Linked Data. The Linked Data generation process includes data acquisition, cleaning, transformation, annotation, publishing, augmentation and interlinking the annotated data as well as quality assessment of the interlinked datasets. The dataset is published under the Norwegian License for Open Government Data (NLOD) and serves as a reference point for applications using data on central government real estates, such as generation of the SoE report, searching properties suitable for asylum reception centres, risk assessment for state-owned buildings or a public building application for visitors.

M. von Zernichow and D. Roman. Usability of Visual Data Profiling in Data Cleaning and Transformation. To appear in the proceedings of ODBASE 2017 – The 16th International Conference on Ontologies, DataBases, and Applications of Semantics, Springer, 24-25 October 2017, Rhodes, Greece.

Abstract: This paper presents the Norwegian State of Estate (SoE) dataset containing data about real estates owned by the central government in Norway. The dataset is produced by integrating cross-domain government datasets including data from sources such as the Norwegian business entity register, cadastral system, building accessibility register and the previous SoE report. The dataset is made available as Linked Data. The Linked Data generation process includes data acquisition, cleaning, transformation, annotation, publishing, augmentation and interlinking the annotated data as well as quality assessment of the interlinked datasets. The dataset is published under the Norwegian License for Open Government Data (NLOD) and serves as a reference point for applications using data on central government real estates, such as generation of the SoE report, searching properties suitable for asylum reception centres, risk assessment for state-owned buildings or a public building application for visitors.

Roman, D. Sukhobok, N. Nikolov, B. Elvesæter and A. Pultier. The InfraRisk Ontology: Enabling Semantic Interoperability for Critical Infrastructures at Risk from Natural Hazards. To appear in the proceedings of ODBASE 2017 – The 16th International Conference on Ontologies, DataBases, and Applications of Semantics, Springer, 24-25 October 2017, Rhodes, Greece.

Abstract: Earthquakes, landslides, and other natural hazard events have severe negative socio-economic impacts. Among other consequences, those events can cause damage to infrastructure networks such as roads and railways. Novel methodologies and tools are needed to analyse the potential impacts of extreme natural hazard events and aid in the decision-making process regarding the protection of existing critical road and rail infrastructure as well as the development of new infrastructure. Enabling uniform, integrated, and reliable access to data on historical failures of critical transport infrastructure can help infrastructure managers and scientist from various related areas to better understand, prevent, and mitigate the impact of natural hazards on critical infrastructures. This paper describes the construction of the InfraRisk ontology for representing relevant information about natural hazard events and their impact on infrastructure components. Furthermore, we present a software prototype that visualizes data published using the proposed ontology.